[NEST Users] 回复：Re: About the Izhikevich model

Dear Professor Hans Ekkehard， Thank you for your answer, which gives me a deeper understanding of Izhikevich model. There is a delay when firing a spike between neurons. If there is an refractory period, can I think that only one spike will be sent in this delay interval. Best wishes, Chao. ------------------ 原始邮件 ------------------ 发件人: "NEST User Mailing List" <hans.ekkehard.plesser(a)nmbu.no>no>; 发送时间: 2022年6月10日(星期五) 下午4:57 收件人: "NEST User Mailing List"<users(a)nest-simulator.org>tor.org>; 主题: [NEST Users] Re: About the Izhikevich model   Hi Chao,   In real neurons, the refractory period arises from a combination of biophysical mechanisms. After firing an action potential, the cell needs to recover before it can fire another one. In simplified neuron models, such as most integrate-and-fire models, which do not include these recovery mechanisms, one usually adds an explicit refractory period to capture the effect of the biophysical recovery mechanisms in a mathematically or computationally simple way.   But if a neuron model includes (slow) recovery variables that will prevent it from spiking for some period after firing a spike, adding an explicit refractory period may not be required. Izhikevich decided that this was the case for his model, and thus there is no explicit refractory period that could be set as a parameter. The neuron model has its refractoriness simply "built in", with details depending on the parameters.   Best regards, Hans Ekkehard   --   Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science   Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway   Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser       On 10/06/2022, 09:31, "jcye" <jc.ye(a)foxmail.com> wrote:   Some people who received this message don't often get email from jc.ye(a)foxmail.com. Learn why this is important   Dear NEST Community,   When I use NEST, I find that Izhikevich model has no refractory period. Whether there is a specific reason for this setting or whether the model itself does not have this refractory period? After all, according to my understanding, all neurons in biology have the characteristics of refractory period. I would be happy to get any feedback on it. Thanks, Chao.